发明名称 |
Paper web breakage prediction using principal components analysis and classification and regression trees |
摘要 |
A system and method for predicting web breaks in a paper machine. Principal components analysis (PCA) and classification and regression tree (CART) modeling are used to predict web break sensitivity from measurements taken from the paper mill. Also, the CART model is used to isolate the root cause of the predicted web break sensitivity.
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申请公布号 |
US6522978(B1) |
申请公布日期 |
2003.02.18 |
申请号 |
US20010929534 |
申请日期 |
2001.08.13 |
申请人 |
GENERAL ELECTRIC COMPANY |
发明人 |
CHEN YU-TO;BONISSONE PIERO PATRONE |
分类号 |
G01N33/34;(IPC1-7):G01B5/30 |
主分类号 |
G01N33/34 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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